Visual Analysis of Financial Time Series Data

Visual Analysis of Financial Time Series Data with a High Capacity, High Throughput Analytics Platform

Time series analysis is central to many critical functions within front, middle and back office capital markets environments. Efficiently accessing, analyzing and understanding historic data in relevant contexts is a challenge in every sector of the industry, including fixed income, foreign exchange, commodities, and equities, since the volume of data is so large.

This video demonstrates the superior analytical value of using a platform combining Sybase RAP with Panopticon's OLAP-enabled data visualization software. You will see examples of how this seamless system provides users with a highly effective way to analyze time series data across risk and trading life cycles.


The key to profitable decision-making is analytical efficiency. Traders and managers must have the tools that allow them to assimilate huge amounts of new information and identify and understand correlations with past performance.

Most financial institutions have moved away from monthly or weekly reports to daily, intra-day and even tick databases that their reporting engines access on demand. The resolution of time series data sets has increased from twelve data points per year to 10 billion and above. Simultaneously, the time available to retrieve and analyze this data has been reduced by competitive pressures, downsizing and other factors. Overnight batch jobs are simply no longer acceptable. People need to make informed decisions instantly, particularly when making business critical trading decisions.

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Science & Technology

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